Advances in Microwave Remote Sensing for Environmental Monitoring

Scope and topics

This special session aims to present state-of-the-art methods, algorithms, and technologies developed through multidisciplinary approaches that leverage microwave (MW) Earth Observation (EO) datasets for a wide range of environmental applications. By bringing together experts with complementary technical expertise in geoinformation technologies, the session will provide a holistic perspective through case studies demonstrating practical applications of MW EO data in environmental management. These examples will equip participants with knowledge and methodologies applicable across diverse scientific fields and backgrounds.

The session will cover advanced MW dataset processing techniques, tools, and methods, illustrated through real-world case studies. Participants will gain insights into how MW remote sensing data can be used to monitor environmental issues and support better management and decision-making processes.

List of Topics:

  • Advanced algorithms and methods for MW EO data processing
  • Multidisciplinary applications of MW remote sensing in environmental monitoring
  • Soil moisture, vegetation, and land surface monitoring using MW datasets
  • Snow, ice, and permafrost mapping with MW sensors
  • Flood, drought, and disaster monitoring and early warning systems
  • Integration of MW EO data with other geospatial and in-situ datasets
  • Data fusion, downscaling, and machine learning techniques for MW EO analysis
  • Novel sensors and technological advancements in MW remote sensing
  • Operational applications in agriculture, forestry, water resources, and urban planning
  • Open-source tools, platforms, and software for MW EO processing and analysis
  • Present applied case studies that demonstrate practical societal benefits
  • Foster discussion on the integration of MW EO data in research networks and operational frameworks
  • Encourage knowledge exchange among rising experts, specialists, and sensor developers to maximize the use of MW datasets in environmental applications

Organizers

Dr. Prashant K Srivastava,Senior Assistant Professor Remote Sensing Laboratory,

Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India
prashant.iesd@bhu.ac.in

Prof. Rajendra Prasad,Senior Professor of Microwave Remote Sensing,

Department of Physics
Indian Institute of Technology ,(Banaras Hindu University), Varanasi-221105 (India)
rprasad.app@itbhu.ac.in

Prof. Sanjeev Srivastava,Associate Professor
School of Science, Technology and Engineering, University of the Sunshine Coast, Queensland, Australia
ssrivast@usc.edu.au

Prof. Narendra Das,Associate Professor
Biosystem and Agricultural Eng.
Civil and Environmental Eng.
Science Team Member NASA NISAR and SMAP Missions
Michigan State University, USA
dasnaren@msu.edu

Dr. Dharmendra Pandey
NISAR ISRO Science Team member (Hydrology & Soil Moisture)
Land Hydrology Division (LHD)
Cryosphere & Hydrology Sciences and Applications Group (CHSG)
Earth & Planetary Sciences and Applications Area (EPSA)
Space Applications Centre (ISRO)
Dept. of Space | Govt. of India
Ahmedabad – 380015 (GUJARAT)
dkp@sac.isro.gov.in

Dr. Manika Gupta, Senior Assistant Professor
Department of Geology,University of Delhi
Delhi-110007
manikagup@gmail.com